Italian Audio Transcription Evaluator

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover projects, build a lasting portfolio, and grow freelance careers teaching AI.

OpenTrain AI is the hiring and contracting organization for this role and will manage onboarding and payment as an independent contractor.

About AI training work

AI training (data labeling / annotation) is the human work behind modern AI systems: people prepare and review examples that models learn from. This field is growing fast and offers flexible, remote, accessible work.

This role puts you at the cutting edge of speech data quality—your evaluations directly shape how speech recognition and speaker-diarization systems perform in real-world, conversational settings.

The role

We are recruiting an Italian Audio Transcription Evaluator to support creation of an evaluation-grade dataset of transcribed, multi-channel audio recordings. You will review AI-generated transcriptions and diarization outputs for exceptionally high accuracy and strict low error-rate (WER) targets.

This is a part-time, contractor role requiring 20+ hours per week. The position is remote and open worldwide; candidates must have native or fluent proficiency in Italian.

• Work type: Part-time contractor (remote, worldwide)
• Time commitment: 20+ hours/week
• Language: Fluent or native proficiency in Italian
• Experience level: Entry level (skill and attention to detail required)

What you'll do

You will evaluate AI outputs against strict acceptance criteria and mark whether they meet evaluation-grade standards. Tasks emphasize verbatim, unnormalized conversational transcription and precise diarization/timestamp alignment.

• Review and evaluate AI-generated transcriptions and diarization outputs for high accuracy and low WER targets
• Validate transcripts that capture spontaneous, unnormalized speech—overlaps, interruptions, false starts, and disfluencies must be preserved
• Assess turn-level and word-level timestamps and speaker identification, including complex overlapping dialogue
• Read and validate underlying JSON-formatted outputs to ensure correct metadata tagging, diarization alignment, and timestamp logic
• Identify transcription, diarization, segmentation, and alignment errors and judge whether AI output meets acceptance thresholds

Requirements

You must be able to detect subtle audio issues, follow strict verbatim transcription rules, and work carefully with timestamped JSON outputs. The role focuses on careful listening and accurate evaluation rather than prior industry tenure.

• Fluent or native proficiency in Italian
• Exceptional ear for audio fidelity; detect subtle background noises, channel bleed, or clipping
• Meticulous attention to detail for verifying word-level timestamps and diarization accuracy
• Ability to evaluate ASR outputs and identify recognition, segmentation, and speaker attribution errors
• Experience reading and validating JSON-formatted outputs for metadata tagging, diarization alignment, and timestamp logic

Helpful background

Candidates with related experience will find the work familiar, though the role is entry level if you meet the core requirements above.

• Linguists or phonetics experts with deep understanding of natural, unnormalized speech patterns
• Language teachers with native-level mastery of Italian
• Professional transcriptionists or speech data QA specialists experienced with ASR outputs and turn-/word-level timestamps

How it works & how to apply

Create an OpenTrain account, complete your profile, and apply through the platform. OpenTrain AI manages contracting and communication for the project.

If selected, you'll receive instructions and training materials for the evaluation tasks and access to the annotation interface and JSON outputs you will review.

• Apply through your OpenTrain profile—setup is free and built for contributors to grow careers in AI training
• Onboarding and project details will be provided after selection; work is performed remotely as an independent contractor